PC AI.

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Publisher :
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.3/5 (91 download)

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Download or read book PC AI. written by and published by . This book was released on 1998 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Future Computed

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis The Future Computed by :

Download or read book The Future Computed written by and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evil Robots, Killer Computers, and Other Myths

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Publisher : Greenleaf Book Group
ISBN 13 : 1735424544
Total Pages : 331 pages
Book Rating : 4.7/5 (354 download)

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Book Synopsis Evil Robots, Killer Computers, and Other Myths by : Steven Shwartz

Download or read book Evil Robots, Killer Computers, and Other Myths written by Steven Shwartz and published by Greenleaf Book Group. This book was released on 2021-02-09 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are AI robots and computers really going to take over the world? Longtime artificial intelligence (AI) researcher and investor Steve Shwartz has grown frustrated with the fear-inducing hype around AI in popular culture and media. Yes, today’s AI systems are miracles of modern engineering, but no, humans do not have to fear robots seizing control or taking over all our jobs. In this exploration of the fascinating and ever-changing landscape of artificial intelligence, Dr. Shwartz explains how AI works in simple terms. After reading this captivating book, you will understand • the inner workings of today’s amazing AI technologies, including facial recognition, self-driving cars, machine translation, chatbots, deepfakes, and many others; • why today’s artificial intelligence technology cannot evolve into the AI of science fiction lore; • the crucial areas where we will need to adopt new laws and policies in order to counter threats to our safety and personal freedoms resulting from the use of AI. So although we don’t have to worry about evil robots rising to power and turning us into pets—and we probably never will—artificial intelligence is here to stay, and we must learn to separate fact from fiction and embrace how this amazing technology enhances our world.

Yale Studies in English

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Publisher :
ISBN 13 :
Total Pages : 650 pages
Book Rating : 4.A/5 ( download)

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Download or read book Yale Studies in English written by and published by . This book was released on 1911 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence For Dummies

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Publisher : John Wiley & Sons
ISBN 13 : 1119467586
Total Pages : 60 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Artificial Intelligence For Dummies by : John Paul Mueller

Download or read book Artificial Intelligence For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2018-03-16 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

Expert Systems

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Publisher : Elsevier
ISBN 13 : 0080531458
Total Pages : 2125 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Expert Systems by : Cornelius T. Leondes

Download or read book Expert Systems written by Cornelius T. Leondes and published by Elsevier. This book was released on 2001-09-26 with total page 2125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis

PC AI.

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Publisher :
ISBN 13 :
Total Pages : 334 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis PC AI. by :

Download or read book PC AI. written by and published by . This book was released on 2001 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era

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Publisher : Elsevier
ISBN 13 : 0323999492
Total Pages : 342 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era by : Surbhi Bhatia Khan

Download or read book Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era written by Surbhi Bhatia Khan and published by Elsevier. This book was released on 2023-07-22 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era investigates the interaction and growing interdependency of the HCI and AI fields, which are not usually addressed in traditional approaches. Chapters explore how well AI can interact with users based on linguistics and user-centered design processes, especially with the advances of AI and the hype around many applications. Other sections investigate how HCI and AI can mutually benefit from a closer association and the how the AI community can improve their usage of HCI methods like “Wizard of Oz prototyping and “Thinking aloud protocols. Moreover, HCI can further augment human capabilities using new technologies. This book demonstrates how an interdisciplinary team of HCI and AI researchers can develop extraordinary applications, such as improved education systems, smart homes, smart healthcare and map Human Computer Interaction (HCI) for a multidisciplinary field that focuses on the design of computer technology and the interaction between users and computers in different domains. Presents fundamental concepts of both HCI and AI, addressing a multidisciplinary audience of researchers and engineers working on User Centered Design (UCD), User Interface (UI) design, and User Experience (UX) design Explores a broad range of case studies from across healthcare, industry, and education Investigates multiple strategies for designing and developing intelligent user interfaces to solve real-world problems Outlines research challenges and future directions for the intersection of AI and HCI

Music Data Mining

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Publisher : CRC Press
ISBN 13 : 1439835527
Total Pages : 386 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Music Data Mining by : Tao Li

Download or read book Music Data Mining written by Tao Li and published by CRC Press. This book was released on 2011-07-12 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing. The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining. The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.

Our Planet Powered by AI

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Publisher : John Wiley & Sons
ISBN 13 : 1394180608
Total Pages : 262 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Our Planet Powered by AI by : Mark Minevich

Download or read book Our Planet Powered by AI written by Mark Minevich and published by John Wiley & Sons. This book was released on 2023-10-24 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to evolving your company with ethical AI along with thought-provoking insights and predictions from a variety of well-known industry leaders In Our Planet Powered by AI, renowned AI strategist and pioneer Mark Minevich delivers an exciting and practical discussion of how to implement groundbreaking artificial intelligence technologies at every level of your organization. You’ll learn to create sustainable, effective competitive advantage by introducing previously unheard-of levels of adaptability, resilience, and innovation into your company. Using real-world case studies from a variety of well-known industry leaders, the author explains the strategic archetypes, technological infrastructures, and cultures of sustainability you’ll need to ensure your firm’s next-level digital transformation takes root. You’ll also discover: How AI can enable new business strategies, models, and ecosystems of innovation and growth How to develop societal impact and powerful organizational benefits with ethical AI implementations that incorporate transparency, fairness, privacy, and reliability What it means to enable all-inclusive artificial intelligence An engaging and hands-on exploration of how to take your firm to new levels of dynamism and growth, Our Planet Powered by AI will earn a place in the libraries of managers, executives, directors, and other business and technology leaders seeking to distinguish their companies in a new age of astonishing technological advancement and fierce competition.

Rough Sets

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Publisher : Springer Nature
ISBN 13 : 303087334X
Total Pages : 320 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Rough Sets by : Sheela Ramanna

Download or read book Rough Sets written by Sheela Ramanna and published by Springer Nature. This book was released on 2021-09-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic. The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.

Yale Studies in English

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Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.:/5 (37 download)

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Book Synopsis Yale Studies in English by : Mary Winslow Smyth

Download or read book Yale Studies in English written by Mary Winslow Smyth and published by . This book was released on 1911 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ballistic Missile Series

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ISBN 13 :
Total Pages : 104 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Ballistic Missile Series by : United States. Army Materiel Command

Download or read book Ballistic Missile Series written by United States. Army Materiel Command and published by . This book was released on 1963 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Computer Games

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Publisher : Springer Science & Business Media
ISBN 13 : 1441981888
Total Pages : 210 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Artificial Intelligence for Computer Games by : Pedro Antonio González-Calero

Download or read book Artificial Intelligence for Computer Games written by Pedro Antonio González-Calero and published by Springer Science & Business Media. This book was released on 2011-03-01 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents some of the most relevant results from academia in the area of Artificial Intelligence for games. It emphasizes well theoretically supported work supported by developed prototypes, which should lead into integration of academic AI techniques into current electronic entertainment games. The book elaborates on the main results produced in Academia within the last 10 years regarding all aspects of Artificial Intelligence for games, including pathfinding, decision making, and learning. A general theme of the book is the coverage of techniques for facilitating the construction of flexible not prescripted AI for agents in games. Regarding pathfinding, the book includes new techniques for implementing real-time search methods that improve the results obtained through AI, as well as techniques for learning pathfinding behavior by observing actual players. Regarding decision making, the book describes new techniques for authoring tools that facilitate the construction by game designers (typically nonprogrammers) of behavior controlling software, by reusing patterns or actual cases of past behavior. Additionally, the book will cover a number of approaches proposed for extending the essentially pre-scripted nature of current commercial videogames AI into a more interactive form of narrative, where the story emerges from the interaction with the player. Some of those approaches rely on a layered architecture for the character AI, including beliefs, intentions and emotions, taking ideas from research on agent systems. The book also includes chapters on techniques for automatically or semiautomatically learning complex behavior from recorded traces of human or automatic players using different combinations of reinforcement learning, case-based reasoning, neural networks and genetic algorithms.

Artificial Intelligence in Short

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Publisher : Ryan Richardson Barrett
ISBN 13 :
Total Pages : 101 pages
Book Rating : 4.2/5 (249 download)

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Book Synopsis Artificial Intelligence in Short by : Ryan Richardson Barrett

Download or read book Artificial Intelligence in Short written by Ryan Richardson Barrett and published by Ryan Richardson Barrett. This book was released on 2024-04-14 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Short is a poignant book about the fundamental concepts of AI and machine learning. Written clearly and accompanied by numerous practical examples, this book enables any capable reader to understand concepts such as how computer vision and large language models are created and used while remaining free of mathematical formulas or other highly technical details. The tonality used in this book is unassuming and full of levity. The book maintains an even pace that assists in conceptualizing the complex ideas of machine learning effectively while maintaining a clear but generalized focus in the narrative. Chapters develop through concrete concepts of computer science, mathematics, and machine learning before moving to more nuanced ideas in the realm of cybernetics and legislature. Artificial Intelligence in Short discusses the most up-to-date research in AI and computer science but also elaborates on how machines have come to learn and the historical origins of AI. The concepts of AI are outlined in relation to everyday life –just as AI has become a tool integrated into devices used daily by many people.

Computer Vision -- ACCV 2009

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Publisher : Springer Science & Business Media
ISBN 13 : 3642123031
Total Pages : 742 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computer Vision -- ACCV 2009 by : Hongbin Zha

Download or read book Computer Vision -- ACCV 2009 written by Hongbin Zha and published by Springer Science & Business Media. This book was released on 2010-04-23 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 5994, LNCS 5995, and LNCS 5996 constitutes the thoroughly refereed post-conference proceedings of the 9th Asian Conference on Computer Vision, ACCV 2009, held in Xi'an, China, in September 2009. The 35 revised full papers and 130 revised poster papers of the three volumes were carefully reviewed and seleceted from 670 submissions. The papers are organized in topical sections on multiple view and stereo, face and pose analysis, motion analysis and tracking, segmentation, feature extraction and object detection, image enhancement and visual attention, machine learning algorithms for vision, object categorization and face recognition, biometrics and surveillance, stereo, motion analysis, and tracking, segmentation, detection, color and texture, as well as machine learning, recognition, biometrics and surveillance.

Deep Learning for Coders with fastai and PyTorch

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Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala